the sparql-visualizer - linked...

The SPARQL-visualizerSoftware demo

LDAC Workshop 2018

Mathias Bonduel (KU Leuven & UGent)

Mads H. Rasmussen (DTU & Niras)

Pieter Pauwels (UGent)

Maarten Vergauwen (KU Leuven)

Ralf Klein (KU Leuven)

M. Bonduel, M.H. Rasmussen, P. Pauwels, M. Vergauwen &

R. Klein2

• Introduction

• SPARQL-visualizer

Implementation details and functionality

Use cases

Hands-on introduction

• Conclusion

• Future work

Content

19/06/2018

19/06/2018M. Bonduel, M.H. Rasmussen, P. Pauwels, M. Vergauwen &

R. Klein3

Introduction

• “A collaborative ontology engineering process”

= Creation of a shared ontology that facilitates information

exchange

• Different methodologies for the design of new

ontologies:

On-To-Knowledge (OTK)

DILIGENT

NeOn

...

Typically a cyclic modeling approach (iterative process)


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Preparatory phase

Development phase

Application phase

Introduction

Improvements

and maintenance

Iteration


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• Involved stakeholders:

Domain expert

Software developer

Ontology engineer

(end-users)

Introduction

Different background and concerns

=> good communication during the process is paramount


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• Existing ontology engineering tools

OntoEdit

Hozo

WebODE

Protégé

...

• Linked Data visualization tools

RDF Gravity

Fenfire

Frameworks such as Payola and LD-R

...

Introduction


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• Issues with:

Availability of the software

Functionality and user friendliness regarding all

stakeholders

Combining ontologies (Tbox) and sample data

(Abox) => implementation

No or limited Abox graph visualization

Sharing demo samples: documentation + triples

(Abox and/or Tbox) + SPARQL

Introduction


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Single page application (angular)

Open-source and available on Github

Online and offline version (only client-side code)

Force-directed graph visualization

Built-in triplestore (rdfstore-js)

External reasoner (Hylar)

Connection to Stardog triplestore

Samples (Abox and/or Tbox) can be shared via

hyperlinks

SPARQL-visualizer: implementation

https://github.com/MadsHolten/sparql-visualizer

https://madsholten.github.io/sparql-visualizer/


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SPARQL-visualizer: implementation


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• PROPS ontology (+ presentation about PROPS ontology):

Preparatory phase: 6 existing approaches

Development phase: 2 implementations• IFCtoLBD converter

• Building requirements

• BOT ontology:

Application phase

Maintenance/improvement

• OPM ontology (PROPS L3):

Development phase

SPARQL-visualizer: use cases

https://github.com/w3c-lbd-cg/props/issues/2

https://github.com/w3c-lbd-cg/lbd/blob/gh-pages/presentations/props/presentation_LBDcall_20180312_final.pdf

https://w3c-lbd-cg.github.io/bot/tutorial/

http://www.student.dtu.dk/~mhoras/ldac2018/


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1. Code editor:

i. New JSON file

ii. Component A: title + author

2. Default SPARQL-visualizer in browser

i. Component C: tab description (markdown)

ii. Component D: tab sample triples (Turtle)

iii. Component E: tab sample query (SPARQL)

3. Code editor:

i. Copy paste tab content from SPARQL-vis in JSON

ii. Component B: tab name (‘title’)

iii. Add comma (if necessary)

SPARQL-visualizer: hands-on

Repeat steps for each new tab




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4. Share the created sample as hyperlink

i. Upload JSON file on Dropbox (or Github) and

create link

ii. Append link to https://madsholten.github.io/sparql-

visualizer/



+ ?file= + fileLink

https://madsholten.github.io/sparql-

visualizer/?file=https://www.dropbox.com/s/e5vmgovtg9rfsk6/LD

AC2018_spacesOverMultipleStoreys_componentA.json?dl=0

https://madsholten.github.io/sparql-visualizer/?file=https://www.dropbox.com/s/e5vmgovtg9rfsk6/LDAC2018_spacesOverMultipleStoreys_componentA.json?dl=0


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• Recommended:

Internet connection (online version of SPARQL-vis)

Cheat sheets:BOT ontology (+ docs)

SPARQL cheat sheet

Markdown cheat sheet

Code editor (e.g. Visual Studio Code)

Dropbox or Github account

• Optional:

Stardog triple store (requires Java 8)

Turtle validation service (e.g. IDLab Turtle validator)


https://raw.githubusercontent.com/w3c-lbd-cg/bot/master/bot.ttl

https://w3c-lbd-cg.github.io/bot/

http://www.iro.umontreal.ca/~lapalme/ift6281/sparql-1_1-cheat-sheet.pdf

https://guides.github.com/pdfs/markdown-cheatsheet-online.pdf

https://www.stardog.com/versions/

http://ttl.summerofcode.be/


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• Best modeling practices for BOT: example building



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• Best modeling practices for BOT: example building


First floorGround floor


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• Best modeling practices for BOT: stairwell space



visualizer/?file=https://www.dropbox.com/s/e5vmgovtg9rfsk6/LD

AC2018_spacesOverMultipleStoreys_componentA.json?dl=0



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• Actively used during W3C LBD Telco at the 12th of March “Towards a PROPS ontology”

Sharing ideas effectively

Keeps presentation on topic

Lowers barrier for non-experts in Linked Data

• Plans to use it further in the PROPS subgroup and other groups

• Useful for dissemination: how to practically implement an ontology in applications (Abox + Tbox)

• Can also be useful for learning SPARQL/RDF(S)/OWL in general

Conclusion


https://docs.google.com/document/d/1gl_eQSl60GuOmIwu4BgUqte_4nWgjCvx05W0-7yK9qw/edit#heading=h.q3ek0y1gzxg7


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• Making new samples => export complete JSON at once

• Make it possible to comment on others’ examples

• Customize graph visualization:

color

lineweight

size

• Option to highlight inferred triples

• Support for other RDF triplestores and public SPARQL

endpoints

Future work


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• SPARQL-visualizer

Github repo:


Online version:


• W3C LBD Telco on PROPS (12th of March):

Presentation:

https://github.com/w3c-lbd-cg/lbd/blob/gh-

pages/presentations/props/presentation_LBDcall_20180312_final.pdf

Minutes:

https://docs.google.com/document/d/1okoF68C_r1Uj3KqzSSXFaIfZl3wE3eAeOsGLrBP1jEo/edit#

PROPS subgroup:

https://docs.google.com/document/d/1gl_eQSl60GuOmIwu4BgUqte_4nWgjCvx05W0-

7yK9qw/edit#heading=h.q3ek0y1gzxg7

• PROPS discussion and examples:


• BOT examples:


• BOT: modeling stairwell space


visualizer/?file=https://www.dropbox.com/s/e5vmgovtg9rfsk6/LDAC2018_spacesOverMultipleStoreys_compo

nentA.json?dl=0

• OPM examples:


Overview of hyperlinks




https://docs.google.com/document/d/1okoF68C_r1Uj3KqzSSXFaIfZl3wE3eAeOsGLrBP1jEo/edit

https://docs.google.com/document/d/1gl_eQSl60GuOmIwu4BgUqte_4nWgjCvx05W0-7yK9qw/edit#heading=h.q3ek0y1gzxg7






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1. Bonduel, M.: Towards a PROPS ontology (2018), https://github.com/w3c-lbd-cg/lbd/blob/gh-

pages/presentations/props/presentation_LBDcall_20180312_final.pdf, Date accessed: 2018-03-16

2. Casellas, N.: Methodologies, Tools and Languages for Ontology Design. In: Legal Ontology Engineering, vol. 3, pp. 57-107.

Springer, Dordrecht (2011). https://doi.org/10.1007/978-94-007-1497-7

3. Chawuthai, R., Takeda, H.: RDF Graph Visualization by Interpreting Linked Data as Knowledge. In: Qi, G., Kozaki, K., Pan,

J.Z., Yu, S. (eds.) Semantic Technology. JIST 2015. Lecture Notes in Computer Science. vol. 9544, pp. 23-39. Springer,

Cham (2016). https://doi.org/10.1007/978-3-319-31676-5 2

4. Guarino, N., Oberle, D., Staab, S.: What Is an Ontology? In: Staab, S., Studer, R. (eds.) Handbook on Ontologies.

International Handbooks on Information Systems, pp. 1-17. Springer, Berlin, Heidelberg (2009). https://doi.org/10.1007/978-3-

540-92673-3 0

5. Mizoguchi, R., Kozaki, K.: Ontology Engineering Environments. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies.

International Handbooks on Information Systems, pp. 315-336. Springer, Berlin, Heidelberg (2009).

https://doi.org/10.1007/978-3-540-92673-3 14

6. Pauwels, P., Terkaj, W.: EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL

ontology. Automation in Construction 63, 100-133 (2016). https://doi.org/10.1016/j.autcon.2015.12.003

7. Pinto, H.S., Tempich, C., Staab, S.: Ontology Engineering and Evolution in a Distributed World Using DILIGENT. In: Staab,

S., Studer, R. (eds.) Handbook on Ontologies. International Handbooks on Information Systems, pp. 153-176. Springer, Berlin,

Heidelberg (2009). https://doi.org/10.1007/978-3-540-92673-3 7

8. Rasmussen, M.H., Pauwels, P., Hvidd, C.A., Karlshj, J.: Proposing a Central AEC Ontology That Allows for Domain Specific

Extensions. In: LC3 2017: Proceedings of the Joint Conference on Computing in Construction. pp. 237-244. Heraklion, Greece

(2017)

References

Contact

Ing. Mathias Bonduel - PhD researcher @ FWOContact: [email protected]

Website: https://iiw.kuleuven.be/onderzoek/sustainable-buildings/flemishcitiesintransition

Mads Holten Rasmussen – PhD researcherContact: [email protected]

Website: https://www.niras.dk/employees/mads-holten-rasmussen-mhra/

Github repository: https://github.com/MadsHolten/sparql-visualizer


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